Testing Lotka’s Law and Pattern of Author Productivity in the Maharashtra University of Health Services (MUHS) Consortium: A Bibliometric Approach (original) (raw)
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Digital Library Perspectives, 2021
Purpose The purpose of this paper is to know whether the authors’ productivity pattern of library and information science (LIS) open access journals adheres to Lotka’s inverse square law of scientific productivity. Since the law was introduced, it has been tested in various fields of knowledge, and results have varied. This study has closely followed Lotka’s inverse square law in the field of LIS open access journals to find a factual result and set a baseline for future studies on author productivity of LIS open access journals. Design/methodology/approach The publication data of selected ten LIS open access journals pertain to authorship, citations were downloaded from the Scopus database and analysed using bibliometric indicators like authorship pattern, collaborative index (CI), degree of collaboration (DC), collaborative coefficient (CC) and citation counts. This study has applied Lotka’s inverse square law to assess authors’ productivity pattern of LIS open access journals and...
EXAMINING THE SCIENTIFIC PRODUCTIVITY OF AUTHORS IN ALTMETRICS RESEARCH: A STUDY USING LOTKA'S LAW
The fundamental aim of this study was, to analyze the application of Lotka’s law to the research publication, in the field of Altmetrics. The data related to alt metrics were extracted from web of science database, which is a scientific, citation and indexing service, maintained by Thomson Reuters. A total of 215 research publications were published by the researchers, in the field of Alt metrics. The study found out that, the Lotka’s inverse square law is not fit for this data. The study also analyzed the Prolific authors, Authorship pattern and the Degree of Collaboration
Library Philosophy and Practice(e-journal), 2019
Artificial intelligence has changed our day to day life in multitude ways. AI technology is rearing itself as a driving force to be reckoned with in the largest industries in the world. AI has already engulfed our educational system, our businesses and our financial establishments. The future is definite that machines with artificial intelligence will soon be captivating over trained manual work that now is mostly cared by humans. Machines can carry out human-like tasks by new inputs as artificial intelligence makes it possible for machines to learn from experience. AI data from web of science database from 2008 to 2017 have been mapped to depict the average growth rate, relative growth rate, contribution made by authors in the view of research productivity, authorship pattern and collaboration of AI literature. The Lotka’s law on authorship productivity of AI literature has been tested to confirm the applicability of the law to the present data set. A K-S test was applied to measure the degree of agreement between the distribution of the observed set of data against the inverse general power relationship and the theoretical value of α = 2. It is found that the inverse square law of Lotka follow as such.
This paper examines the validity of Lotka's law using "full productivity" of authorship to library and information science (LIS) research of Bangladesh. Lotka's law is tested using both generalized and modified forms and follow-up Kolmogorov-Smirnov tests are applied. The results suggest that author productivity predicted in Lotka's law is applicable to LIS research in Bangladesh. Price square root law and 80/20 rule are not applicable to author productivity data. The extent of collaboration in LIS authorship of Bangladesh is also discussed.
2020
The present study investigates authorship trends and productivity among LIS professionals who contributed journal articles in the selected 12 peer reviewed LIS journals of India, US and UK. For the purpose of the study four periodicals from each country are chosen during the period 2007 to 2017. The results analyzed proved that journal wise author distribution is highest in the published literature of UK with (3546) authors followed by India with (3162) and US (2420) authors. The obtained values of ᵪ²= 66.331, ρ=0.05 found that there is an association between type of authorship and country. As India and UK accounted for more number of collaborative works while US has large number of solo article contributions. The data analyzed shows preference towards collaborative research in all the three countries with little variations. Lotka’s law have been applied and tested using Pao’s method and verified through Kolmgorov-Smirnov (KS) test. The application of Lotka’s law when applied indivi...
Trends of Authorship and Collaboration Rate of IJBT Journal : an analytical study
College Libraries, 2020
This paper aims to study and analyze authorship pattern and collaboration trends and testing Lotka's law of author's productivityin the field of biotechnology research.The authorship data was collected from Indian Journal of Biotechnology Research during the period (i.e. 2008-18). A total of 842 articles were examined which are contributed by 3,309 unique authors in respect of year wise authorship, co-authorship index, coefficient of collaborations, geographic distribution of authors etc. The authors found that most of the papers are multi-authored (96.67%) paper. Coefficient of collaboration between authors registered highest in 2016 (0.74). The Lotka's inverse square law has been applied to examine the productivity of authors and it is tested by K-Sand Chi-square statistical tests and found that the productivity of author in IJBT journal follows the Lotka's law. This study will add value to scholarly literature and provide publications and authorship trends in IJBT journal.
Informology, 2023
The primary objective of the current research is to compare Lotka's law of author productivity and the Google Scholar i10-Index with the number of authors and their articles in the field of chemistry in Iran indexed in the Web of Science (WoS) from 2000 to 2020. This study is a descriptive-qualitative type of research that was carried out using the scientometric approach. The statistical population of the present study consisted of all Iranian articles published in the field of chemistry indexed in the Science Citation Index Expanded. Some scientometric software packages were used to analyze the data with Lotka’s law and i10-index. The most prolific Iranian authors in chemistry were Mohamadreza Ganjali from the University of Tehran, Majid Heravi from Alzahra University, and Mojtaba Shamsipur from the Razi University of Kermanshah, all being acclaimed scientists in Iran. The results suggest that the validity of Lotka’s law was not confirmed in measuring Iranian authors' productivity in the field of chemistry. However, it is hard to draw a negative conclusion about the validity of Lotka’s law from a single experiment. Moreover, investigating the i10-index revealed that 85% of the Iranian authors with more than one publication have an i10-index. The results also indicated that the validity of Lotka’s law cannot be confirmed, considering the Iranian chemistry papers indexed in the WoS. Furthermore, the results imply that the i10-index closely follows the authors with over one published paper and presents a high capability application in this field as a credible index.
Scientometric analysis of 146 and 59 research articles published in Indian journal of Information Sources and Services (IJISS) and Pakistan Journal of Library and Information Science has been carried out. Seven Volumes of the IJISS containing 14 issues and Seven volumes of PJLIS containing 8 issues from 2011 – 2017 have been taken into consideration for the present study. The number of contributions, authorship pattern & author productivity, average citations, average length of articles, average keywords and collaborative papers has been analyzed. Out of 146 of IJISS contributions, only 39 are single authored and rest by multi authored with degree of collaboration 0.73 and week collaboration among the authors and from 59 contributions of PJLIS only 18 are single authored and rest by multi authored with degree of collaboration 0.69 and week collaboration among the authors. The study revealed that the author productivity is 0.53 (IJISS) and 0.50 (PJLIS) and dominated by the Indian and Pakistani authors.
Publication Productivity of University of Kerala: A Scientometric View
DESIDOC Journal of Library & Information Technology
Web of Science is a major citation database which provides access to the world's leading scholarly literature. University of Kerala is one of the premier higher education institutes which cater the educational needs of the Kerala. The present study evaluates the research productivity of University of Kerala based on the data collected from Web of Science over a period of thirteen years from 2000 to 2012. This study attempts to analyse the overall performance of the faculty members of Science Departments of University of Kerala in research productivity. The parameters such as form-wise, year-wise, subject-wise classification of published papers, most productive authors and the most preferred journals, etc. are considered for the study. The impact factor and the citation received were also analysed. The study reveals that Chemistry is the subject which produces more number of papers while the multi-authorship also possesses a lead role in this subject. Indian journals are the most preferred journals to publish the articles which are followed by UK. Collaborative Coefficient varies from subject to subject. The result shows that the research productivity of the University of Kerala is much recognised at international level.
Proceedings of International Conference on “Rejuvenating Libraries for Information Access in the Digital Era (ICRLIB-2018)" , 2018
Scientometric analysis of 146 research articles published in Indian journal of Information Sources and Services (IJISS) has been carried out. Seven Volumes of the journal containing 14 issues from 2011 – 2017 have been taken into consideration for the present study. The number of contributions, authorship pattern & author productivity, average citations, average length of articles, average keywords and collaborative papers has been analyzed. Out of 146 contributions, only 39 are single authored and rest by multi authored with degree of collaboration 0.73 and week collaboration among the authors. Pattern of Co- Authorship revealed that the improving trend of co-authored papers. The study revealed that the author productivity is 0.53 and dominated by the Indian authors.